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spasis
/
bert-finetuned-ner-accelerate

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use spasis/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use spasis/bert-finetuned-ner-accelerate with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="spasis/bert-finetuned-ner-accelerate")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("spasis/bert-finetuned-ner-accelerate")
    model = AutoModelForTokenClassification.from_pretrained("spasis/bert-finetuned-ner-accelerate")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-ner-accelerate
432 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
spasis's picture
spasis
Training in progress epoch 2
4c714ba about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    1.03 kB
    Training in progress epoch 0 about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    431 MB
    xet
    Training in progress epoch 2 about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Training in progress epoch 0 about 4 years ago
  • tokenizer.json
    436 kB
    Training in progress epoch 0 about 4 years ago
  • tokenizer_config.json
    320 Bytes
    Training in progress epoch 0 about 4 years ago
  • vocab.txt
    213 kB
    Training in progress epoch 0 about 4 years ago